Browsing by Author "Nagpal, Gaurav"

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Adoption and Diffusion of Hi-Technology Product and Related Inventory Policies: An Integrative Literature Review
(IGI Global, 2020) Chanda, Udayan; Nagpal, Gaurav
The objective of this review article is to study the published research on the inventory modeling and optimization for substitutable technology products with a short product life cycle. This review explains the demand dynamics of technology generation products and how to administer supply chain management of this kind of products than any other functional products. The article does a review of the demand models proposed on the diffusion of innovation products, and then, moves on to the literature review of the multi-item inventory models, followed by the literature review of the inventory modeling of substitutable items. In order to ensure the quality, this study covers the review of the research papers mostly published in reputed SCI or ABDC rated journals. The study discovers that the research that has been done on the inventory optimization of multi generation technology products is not only rare but also very restrictive in its scope and assumptions. The study then proposes the directions for the future research.
A Case Study on Developing an End-To-End Solution to Identify Loan Eligible Customers and Assigning Them Credit Lines Based on Their Predicted Income Chapter A Case Study on Developing an End-To-End Solution to Identify Loan Eligible Customers and Assigning Them Credit Lines Based on Their Predicted Income
(Apple Academic Press, 2021) Nagpal, Gaurav
Challenges in Adoption of Business Analytics by Small Retailers: An Empirical Study in the Indian Context
(ACM Digital Library, 2023-01) Nagpal, Gaurav; Nagpal, Ankita; Jasti, Naga Vamsi Krishna
Business analytics are transforming every industry in modern times, and the retail sector is not an exception to this. However, the adoption of analytics among small and medium enterprises is quite limited. There is a decent amount of research that has been done in the recent past on identifying the barriers of digitalization for small and medium enterprises. But any such work is missing in the case of analytics. Also, the small retailer, in particular, has been left untouched by the existing research studies when it comes to identifying what prohibits him from the use of analytics for making business decisions. Using a scientific way of data collection from small and mid-sized retailers and from retail industry experts, this study explores why the local retailers are reluctant to use analytics in their work and what can be done to make them more comfortable with the use of analytics. The study also proposes a novel framework for adoption of data analytics and titles it “SPEFSERT Framework.”
Conjoint Analysis based Predictive Analytics to study the employee attitude towards virtual and digital work practices in IoT work environments
(IEEE, 2023-02) Nagpal, Gaurav; Nagpal, Ankita; Jasti, Naga Vamsi Krishna
Covid-19 has been one of the most disruptive pandemics to date. Among the other aspects of disruption, it also disrupted the way people work in organizations. Many of the organizations surrendered their offices for good. However, there are many ill effects of these unconventional work practices also. This research study aims to explore the perception of the employees towards the adoption of Virtual and flexible work practices. The study uses a conjoint analysis approach on different possible Work Practice Profiles, that specify the nature of work (Virtual, offline, or hybrid), nature of work schedule (flexible, or fixed), nature of ownership (individual, or team), and length of working hours (8.5 hours, or 9.5 hours or 10.5 hours). The study finds that the number of working hours is the most important criterion for the employees followed by mode of work, responsibility, and work schedule.
Cushioning the Economy From COVID-19: A Commentary on the Approaches Adopted by Major Nations
(IGI Global, 2021) Nagpal, Gaurav
The COVID-19 pandemic has left the world in complete disarray. Different economies around the world have tackled the COVID-19 pandemic differently, with several monetary and fiscal policies being introduced to combat the devastating effects the pandemic has had on the economy. This chapter focuses on some of the most economically powerful countries and their policies to overcome pandemic-related adversities. More importantly, it gives insights on how COVID-19 is different from earlier crises in terms of its characteristics and also in terms of the uniqueness of the initiatives taken by the major economies in mitigating its impact. The chapter also discusses how the new-age technologies can help manage this crisis better. The study also discusses the implications for the policymakers, the governments, the executioners, and the think tanks or consultants to the decision makers.
Design and Deployment of Dynamic Performance Targets for the Lastmile Field Executives in eCommerce Logistics Industry
(IGI Global, 2021) Nagpal, Gaurav; Srivastav, Prateek
This chapter is an action research done for one of the largest eCommerce logistics organization (having presence in India) to design a working mathematical model which rates the field operations staff all around the country based on the dynamic targets depending upon different parameters, and then finally ranks the field executives relatively across the country. To ensure that the rating of the field executives is a fair and transparent process and discounts the influence of the nature of shipments provided to them problem, the authors worked with one of the largest global eCommerce delivery firms to design a rating system of the field supervisors using R.
Disruption and Innovation Trends in the QSR Industry: Perspectives Drawn From India
(IGI Global, 2022) Nagpal, Gaurav
The QSR (quick service restaurants) industry in the emerging economies such as India is undergoing a wave of disruption and re-engineering. Many global brands in QSR food servicing have resorted to technology and innovation in one or more aspects of their value chain in order to maintain leadership positions in a market that is facing some fast-growing competition from various channels, especially with the penetration that service aggregators like Zomato, Swiggy, and Uber Eats have managed to gain. This study aims to establish a general direction towards which the QSR industry is progressing in India by examining not only the current trends in India but also the trends that are prevalent worldwide and which have the potential of diffusion to emerging economies like India.
Does Cross-Functional Pedagogy of Teaching a Course Help in Management Education?: Evidence From a Supply Chain Management Course
(IGI Global, 2022) Nagpal, Gaurav; Jasti, Naga Vamsi Krishna
This research study aims to examine the effectiveness of delivering a supply chain management course to students from a cross-functional perspective. The study analyses the positive teaching-learning outcomes that came out with the teaching of this course to the working professionals through online mode at an institution from a cross-functional perspective. The research question is whether teaching the supply chain management course from a cross-functional perspective resulted in better student performance in terms of Bloom's taxonomy. This study finds that the positive effect of this experiment is statistically significant on the treatment set. The study also proposes a few examples of cross-functional classroom teaching and linkages between different courses that need to be brought to the attention of the students. The study also sheds light on different tools of cross-functional teaching and how the management faculty can develop the art of delivering lectures from a cross-functional perspective, and the caution that they need to exercise while adopting this pedagogy style.
Economic order quantity model for two generation consecutive technology products under permissible delay in payments
(IDEAS is a RePEc, 2021) Chanda, Udayan; Nagpal, Gaurav
In this article, we discussed optimal replenishment policies for two succeeding generations' technology products under partial trade credit financing. It is often seen that in technology market, advanced generation product plays an important role in cannibalising the market of existing generation product. Thus, precise estimation of demand of technology generations' product is critical for taking any policy decisions. Demand estimation of technology products is a complex process, as the consumer buying behaviour of technology generational products is not only depends on marketing mix variables but also associated with the time-to-market phenomenon of new technologies. In technology market, interaction among users of different generational products controls the rate of substitution of older technology products with the new one. Therefore, due to the substitution nature of demand of multi-generation product, it is important to incorporate the interaction-substitution effect in replenishment policies for this kind of products. We used life cycle dynamics to project demand rates of technology generations. In this paper, we formulate the total cost function for five different situations depending upon the new generation introduction timing and length of the trade credit period. A detail sensitivity analysis is been performed to explore the efficacy of the model in a given situation.
An empirical study on implementation of sustainable production practices in Indian manufacturing industry
(Emerald, 2023-10) Jasti, Naga Vamsi Krishna; Nagpal, Gaurav; Kota, Srinivas
Sustainable production (SP) is an efficient and influential approach of production for Indian manufacturing industries as it preserves the social, environmental and economic aspects of production activities altogether. The objective of this research work is to investigate the implementation status of SP practices in Indian manufacturing industries by utilizing empirical survey methodology.
The First Half-Century of Decision Modelling for Substitutable Products: A Literature Review and Bibliographic Analysis
(OSCM, 2021) Chanda, Udayan; Nagpal, Gaurav
Due to the resource constraints of the factors of production (land, capital, capacity, etc.), the firms have to rationalize the assortment of products that they deal in. In such a situation, a consumer whose requirement for a preferred product may not get served from the existing inventories with the seller, may go for some other alternative product. A lot of research work in the past has been done on this demand substitution and its implications upon the assortment optimization, inventory optimization and price optimization. The first work on modelling for substitutable demand is attributed to 1970. Considering the same, the authors decided to do a review of the half-century of work on the modelling for substitutable products. The paper gives a detailed analysis of the published research articles around demand substitution and also discusses the achievements of the existing research. The article also gives a few possibilities of the future extensions to this body of knowledge on the management of substitutable products.
Influence of Time on Efficiency of Indian Capital Markets: Proposition of a Recommendation Engine
(IEEE, 2022) Nagpal, Gaurav; Nagpal, Ankita
This study aims to investigate the influence of the time on the efficiency of Indian capital markets and to propose a recommendation engine that can assist as a feedback system for better investment actions and an efficient capital market. It uses the data comprising fifty stocks listed on the National Stock Exchange over a period from Jan'2015 to Dec'2020 to determine the capital market efficiency and its trends using three techniques: correlation test, residuals test, and runs test. The proposed recommendation engine can generate the implications of contemporary events on the stock prices which can further bring the pricing errors to the surface faster. It can also assist in enhancing the capital market's efficiency which leads to a reduction of arbitrage opportunities and faster removal of pricing anomalies in the market.
Inventory modelling and optimization for high technology products with successive generations
(BITS Pilani, 2021) Nagpal, Gaurav
Inventory Modelling for technology generation products under uncertain trade credit terms and imprecise procurement costs
(OSCM, 2022) Nagpal, Gaurav; Chanda, Udayan; Jasti, Naga Vamsi Krishna
The inventory policies for any product under the trade credit mechanism are influenced by the procurement price per unit and the credit period offered by the seller to the buyer. This paper develops an inventory model for the technology generations under the imprecise trade credit period and the imprecise procurement cost. It considers the demand that is credit-linked and governed by innovation diffusion as well. The imprecise nature of the parameters is captured by the use of fuzzy numbers. The trapezoidal membership function has been used to fuzzify the profit function with the imprecise parameters, and then the centroid method is used to de-fuzzify the profit. The numerical illustrations have been performed, followed by the sensitivity analysis with the launch timing of the second generation product. A few important implications for the inventory practitioners and the possible extensions of this work have also been discussed
Inventory Modelling for technology generation products under uncertain trade credit terms and imprecise procurement costs
(OSCM, 2022) Chanda, Udayan; Nagpal, Gaurav
The inventory policies for any product under the trade credit mechanism are influenced by the procurement price per unit and the credit period offered by the seller to the buyer. This paper develops an inventory model for the technology generations under the imprecise trade credit period and the imprecise procurement cost. It considers the demand that is credit-linked and governed by innovation diffusion as well. The imprecise nature of the parameters is captured by the use of fuzzy numbers. The trapezoidal membership function has been used to fuzzify the profit function with the imprecise parameters, and then the centroid method is used to de-fuzzify the profit. The numerical illustrations have been performed, followed by the sensitivity analysis with the launch timing of the second generation product. A few important implications for the inventory practitioners and the possible extensions of this work have also been discussed.
Inventory Replenishment Policies for Two Successive Generations of Technology Products Under Permissible Delay in Payments
(IGI Global, 2022) Chanda, Udayan; Nagpal, Gaurav
In this age of digitalization, when every industry is undergoing technological disruption, there is a big role of digital gadgets and technology products. A key feature of these digital gadgets is the short length of the product life cycle, since the newer and more advanced generations of technologies are developed regularly to replace the earlier conventional technologies. The traditional EOQ models that assume a constant demand cannot be used here. This research paper formulates an inventory optimization model for the multi-generational products under the trade credits and the credit-linked and innovation diffusion dependent demand. The study also performs a numerical illustration of the proposed model, and establishes important dynamics among the key variables. It also performs the sensitivity analysis with the cost of credit and the trade credit period. The paper concludes with the managerial implications for the inventory practitioners and the possible areas of extension for this research in the future.
Inventory replenishment policies for two successive generations price-sensitive technology products
(American Institute of Mathematical Sciences, 2022-05) Chanda, Udayan; Nagpal, Gaurav
The high technology products come in generations, where the demand for newer technology generations is strongly influenced by the installed base of earlier generations (such as computers, cameras, notebooks, etc). However, the effect of technology substitution on inventory replenishment policies has received little attention in the supply chain literature. In the hi-technology market, consumers' purchasing capability, the utility of a product along with the entry of the advanced generation product influence the market expansion/contraction of the products. In this study, the impact of parallel diffusion of two successive generations' products on inventory policies of the monopolist has been analysed. The demand models have been characterised by considering the life-cycle dynamics for a P-type inventory system. The purpose of this paper is to develop a model for joint pricing and replenishment of technology generation products. The model has been solved by using a genetic algorithm technique. The impact of yearly price drop and the price sensitivity of demand on the profit margins vis-à-vis on replenishment policies has also been studied. The paper also brings forward the dynamics of the launch of newer generations and the pricing strategies on optimal inventory replenishment policies. Numerical illustrations have also been covered in the paper.
Investigating the Risk-Return Dynamics of Optimal Stock Portfolios in Indian Capital Market
(IUP, 2023) Nagpal, Gaurav
Generating the best returns commensurate with the risk appetite is very important for an investor in capital markets. After determining the past returns and risk behavior of a stock and assuming it to be the same in the future, optimal portfolio strategies can be worked out for different investment objectives. While it is known that expected returns and expected risks go hand in hand, there is no existing literature that has examined the exact nature of the relationship between the risks and returns on optimal portfolios in the Indian capital market. Therefore, this study examines the dynamics of risk-return relationship in the case of optimal portfolios designed for different objectives, and also validates the efficient frontier for the Indian capital market. It shows that the improvement in the returns of optimal portfolios happen at a decreasing rate with the increase in the risk appetite of an investor, indicating the nonlinear relationship between risks and returns. The implications for managers and investors have also been discussed
Multi-Period EOQ Model for Multi-Generation Technology Products With Short Product Life Cycles
(ACM Digital Library, 2022-07) Chanda, Udayan; Nagpal, Gaurav; Jasti, Naga Vamsi Krishna
In this paper, the multi-period EOQ model is developed for the technology products that have multiple generations co-existing in the market, with each of them having a very short product life cycle. The paper first develops the framework for computation of inventory-related costs and then minimizes the total replenishment costs using random search technique and approximating the non-linear expressions while using Simpson’s Rule for integration. The paper also provides numerical illustrations and establishes a few important theorems that relate the EOQ to the innovation of diffusions. It is found that the total replenishment cost curve, drawn on the EOQ axis in the case of technology generations is convex to the origin. Since the objective function is highly non-linear, the genetic algorithm has been used to find the solution to the problem. The study also suggests that the faster diffusion of the next generations has a conflicting effect on the EOQ of the first generation in the case of pooled and non-pooled logistics.
Optimal inventory policies for short life cycle successive generations’ technology products
(Taylor & Francis, 2021-03) Chanda, Udayan; Nagpal, Gaurav
In this paper, a new Economic Order Quantity (EOQ) model for a successive generation of technology products has been discussed. The classical EOQ model is based on the assumption that the demand rate is constant. Hence it cannot be used for technology products where competition-substitution among products is a usual phenomenon. To address this problem, the EOQ model proposed in this article is considered a demand model for a technology product that follows the innovation-diffusion process. A numerical example has been illustrated and a comprehensive sensitivity analysis is conducted to understand the path of the optimal planning horizon and optimal costs under varied innovation and imitation effect. The sensitivity analysis of the introduction timing of the second generation has been performed to know the applicability of the model in actual circumstances. The behavior of the model has been discussed in detail in the numerical illustration section.